rcpp_convolve {cladoRcpp} | R Documentation |
Run C++ version of convolve(x,y, conj=TRUE, type="open")
Description
This function runs a C++ version of the R function convolve
,
specifically: convolve(x,y, conj=TRUE, type="open")
Usage
rcpp_convolve(a, b)
Arguments
a |
a numeric vector |
b |
a numeric vector |
Details
The R function convolve
is an example of an R function that
gets very slow when the input vectors are large. This C++ version, rcpp_convolve
can be dramatically faster for large vectors.
rcpp_convolve
produces the same output as: convolve(ca, cb, conj=TRUE, type="open")
Note: The C++ code is from the Rcpp examples in: Eddelbuettel & Francois (2011). Rcpp: Seamless R and C++ Integration. Journal of Statistical Software, 40(8), 1-18.
Value
convolve_result_vector
the vector which is the product of the convolution
Author(s)
C++ code by: Dirk Eddelbuettel <edd at debian.org> & Romain Francois (2011); This R wrapper & documentation: Nicholas Matzke matzke@berkeley.edu
See Also
Rcpp
, convolve
, rcpp_mult2probvect
, Rcpp_combn_zerostart
#bibliography /Dropbox/_njm/__packages/cladoRcpp_setup/cladoRcpp_refs.bib
@cite Eddelbuettel_Francois_2011
Examples
# Set up 2 vectors, then convolve them
ca = c(1,2,3,4,5)
cb = c(2,2,2,2,2)
rcpp_convolve(a=ca, b=cb)
# Same as:
convolve(ca, cb, conj=TRUE, type="open")